PreprintCited by 5,439Genomics and Phylogenetic StudiesFractal and DNA sequence analysisAlgorithms and Data Compression

Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilities

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Ewing, Brent, Green, Phil·1998·Genome Research

Abstract

Elimination of the data processing bottleneck in high-throughput sequencing will require both improved accuracy of data processing software and reliable measures of that accuracy. We have developed and implemented in our base-calling program phred the ability to estimate a probability of error for each base-call, as a function of certain parameters computed from the trace data. These error probabilities are shown here to be valid (correspond to actual error rates) and to have high power to discriminate correct base-calls from incorrect ones, for read data collected under several different chemistries and electrophoretic conditions. They play a critical role in our assembly program phrap and our finishing program consed.

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Authors
Ewing, B., & Green, P.
Affiliations
University of Washington (US)
Venue
Genome Research
Published
1998-03-01
Volume
8
Issue
3
Pages
186-194
ISSN
  • 1088-9051 (ISSN-L)
  • 1549-5469
OpenAlex
W2119923823
Cited by
5,439
References
8
Citations by year
2026: 56 · 2025: 88 · 2024: 84 · 2023: 86 · 2022: 115 · 2021: 157 · 2020: 141 · 2019: 128 · 2018: 132 · 2017: 176 · 2016: 190 · 2015: 215 · 2014: 275 · 2013: 301 · 2012: 289
Type
posted content
Language
en
Open access
Locations
  • Genome Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Human Genome Research Institute
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
  • Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
Keywords
base calling, error probability estimation, next-generation sequencing, sequencing accuracy, genome assembly
MeSH terms
Base Sequence, Chimera, Cloning, Molecular, Data Interpretation, Statistical, Genetic Vectors, Humans, Probability, Quality Control, Software, Reproducibility of Results, Discriminant Analysis, Human Genome Project, Sequence Analysis, DNA

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